Design of Autonomous Navigation Algorithm For Security Inspection Robot
- DOI
- 10.2991/cnci-19.2019.1How to use a DOI?
- Keywords
- Security inspection robot, path planning, SLAM algorithm, ant colony algorithm, BUG algorithm.
- Abstract
The security inspection robot is mainly used for large-scale warehouse security and automatic inspection of various warehouses, community security inspections, industrial site monitoring and other automated inspections. The security inspection robot uses the SLAM algorithm to map the inspection target data and the odometer data obtained by the laser radar triangulation technology under the ROS operating system, and determines the position of the robot and the solid obstacle in the environment. After calibrating the main target points of the inspection and the inspection sequence on the map, the improved ant colony algorithm is used for static path planning and obstacle avoidance between each target point, and then the improved BUG algorithm is adopted in the complex dynamic environment. Obstacle avoidance, so as to achieve the inspection mission of the security inspection robot.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaowei Han AU - Changwen Liu PY - 2019/05 DA - 2019/05 TI - Design of Autonomous Navigation Algorithm For Security Inspection Robot BT - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019) PB - Atlantis Press SP - 1 EP - 9 SN - 2352-538X UR - https://doi.org/10.2991/cnci-19.2019.1 DO - 10.2991/cnci-19.2019.1 ID - Han2019/05 ER -